Walmart

Data Scientist

• Build and deploy production ML systems end-to-end: data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale.
• Provide technical vision and lead advanced development in agentic AI, reinforcement learning, and simulation.
• Architect and deploy large-scale AI systems and autonomous AI agents — conversational assistants, predictive agents with tool-calling, and multi-agent orchestration systems using LangChain, Pydantic AI, and RAG patterns.
• Design agentic evaluation frameworks that benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy.
• Deploy NLP pipelines at enterprise scale — semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS).
• Lead high-impact projects end-to-end; problem framing, modeling, prototyping, production architecture, and rollout.
• Author and review technical designs and standards; present findings to senior leadership.
• Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and experimentation design - raising the technical bar across teams.
• Establish best practices for model validations, experimentation, and safe deployment of AI systems.
• Influence roadmap prioritization and long-term strategy for AI and simulation capabilities.
• Present insights to senior leadership with compelling data visualization, quantified business impact, and clear confidence intervals.

Distinguished Data Scientist – Associate AI Experience

• Architect end-to-end ML/AI systems — from feature engineering through production deployment and monitoring.
• Build and deploy production ML systems end-to-end: data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale.
• Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and simulation.
• Architect and deploy large-scale AI systems and autonomous AI agents — conversational assistants, predictive agents with tool-calling, and multi-agent orchestration systems using LangChain, Pydantic AI, and RAG patterns.
• Design agentic evaluation frameworks that benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy.
• Deploy NLP pipelines at enterprise scale — semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS).
• Lead high-impact projects end-to-end; problem framing, modeling, prototyping, production architecture, and rollout.
• Author and review technical designs and standards; present findings to senior leadership.
• Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and experimentation design - raising the technical bar across teams.
• Establish best practices for model validations, experiemention, and safe deployment of AI systems.
• Influence roadmap prioritization and long-term strategy for AI and simulation capabilities.
• Present insights to senior leadership with compelling data visualization, quantified business impact, and clear confidence intervals.

Senior Data Scientist – Associate AI Experience

Controller

• Oversee financial reporting, ensuring accuracy and compliance with accounting standards.
• Analyze financial data, investigate variances, and communicate business impacts within regulatory frameworks.
• Ensure adherence to reporting policies, Sarbanes-Oxley Act, and government filing requirements.
• Drive execution of business plans by identifying needs, removing obstacles, and measuring progress.
• Collaborate with internal and external stakeholders to validate financial documentation and maintain compliance.
• Develop dashboard reporting for master data working with our business partners in Tech and data stewards.

Senior Manager, Controllership – Consolidation and Reporting

Data Analyst

• Build and scale business analytics capabilities that measure performance, identify operational and financial levers, and enable faster, higher-quality decisions.
• Partner with Product, Business, Finance, and Technology to define business KPIs, standardize metrics, improve data quality, and deliver insights that drive seller growth.
• Analyze marketplace performance across the seller lifecycle (onboarding, fulfillment, availability, customer experience, returns) to identify trends, root causes, and opportunities.
• Develop and maintain robust analytics dashboards, AI Agents and reports to track key product and business metrics.
• Proactively analyze customer and seller data to identify trends and patterns for growth.

Manager, Data Analytics – Marketplace Seller Fulfilled

Account Manager

• Manage strategic accounts: Serve as a strategic consultant/account manager accountable for driving business growth across a portfolio of strategic sellers.
• Develop strategies with sellers to expand selection, improve offer quality and drive operational improvements across their business.
• Overseeing business performance: Lead annual and quarterly business planning and performance tracking for strategic sellers.
• Conduct deep dive analysis on issues effecting seller business performance and implement corrective actions.
• Drive performance against P&L levers including gross merchandise value (GMV) and contribution profit.
• Being a trusted advisor: Develop strong and trusting relationships with partners.
• Serve as the account quarterback working across the organization to solve issues, address pain points and implement growth initiatives.
• Employ a one team approach to accomplish the goals of the business and drive negotiations from a win-win perspective that establishes credibility and trust with our partners and delivers consistently improved performance.
• Optimizing offer quality: Work directly with sellers to optimize their listings including PDP content, ratings and reviews, ship speed and price competitiveness to maximize search optimization and discoverability across the platform.
• Driving adoption of seller services: Teach sellers how to be more successful across the Walmart platform and maximize awareness and adoption of seller growth initiatives including Walmart Fulfilment Services (WFS), Walmart Connect, and more.
• Developing strategic marketing plans: Develop seller marketing plans - including events, site placements and promotions - that drive incremental traffic and GMV.
• Working cross-functionally: Collaborate with Product Management, Strategy, Operations, Site and Marketing to deliver best-in-class customer and seller experiences.
• Autonomous Work: Will be responsible for management of the above and action with limited manager oversight.

Manager, Strategic Account Management – Cleaning Products

Backend Engineer

• Develop and maintain backend services using Java and Spring Boot frameworks.
• Implement and manage real-time data streaming using Kafka and manage databases efficiently.
• Develop and maintain secure authentication and authorization mechanisms.
• Optimize application performance and address bottlenecks.
• Setup monitoring and alerting mechanisms for backend services health.
• Collaborate with team leads for technical insights and end-to-end solutions.
• Lead design and architecture of complex enterprise backend systems.
• Conduct code reviews and ensure high code quality.

Senior Software Engineer – Health & Wellness – Backend

Full-stack Engineer

• Provide the customer care agents with 360°customer/order visibility & integrated set of communication tools.
• Design, development, implementation and documentation for product features.
• Build, test and deploy cutting edge solutions at scale, impacting associates of Walmart worldwide.
• Interact with Walmart engineering teams across geographies.
• Engage with Product Management to drive the agenda, set priorities and deliver products.
• Contributing in both front end as well as back end stack and taking care of requirement from end to end development.
• Work closely with Architects and follow established practices for delivery of solutions meeting QCD (Quality, Cost & Delivery).

Senior Software Engineer – Full Stack

Data Engineer

• Driving the Data engineering charter with AI first mindset, bring best practices, solve key enterprise problems for multiple markets.
• Develop and leverage a consistent framework with a platform based approach to identify and prioritize uses cases based on business value.
• Exhibit thought leadership to solve complex data problems (business & operational), pivotal to Walmart's business and drive actionable insights.
• Demonstrate incremental solution based approach with agile and flexible ability to overcome practical problems.
• Lead and collaborate with the team to assess customer needs and translate the business problem into an analytical problem.
• Establish platform best practices and drive the use of state of art techniques.
• Drive continuous improvement by researching industry best practices and incorporating it to our company.

Senior Director, Data Engineering

Operations

• Manage technical programs from concept to delivery, ensuring successful project outcomes and meeting business objectives.
• Collaborate with cross-functional teams, including engineering, product management, and operations, to define program scope, goals, and timelines.
• Develop and manage program plans, and resource allocation, ensuring effective use of resources and meeting program objectives.
• Lead and manage technical program teams, including engineers, project managers, and other technical staff, to deliver high-quality results.
• Identify and mitigate technical risks, and develop contingency plans to ensure program success.
• Develop and maintain relationships with stakeholders, including customers, partners, and internal teams, to ensure program alignment with business objectives.
• Stay up-to-date with industry trends and emerging technologies, and apply this knowledge to drive technical innovation and program improvement.
• Collaborate with other program managers to share best practices, identify opportunities for improvement, and drive program excellence.

Analyst III, Technology Operations

Manager

• Own product and technology strategy for a portfolio of enterprise Operational Technology platforms.
• Define and maintain multi-year roadmaps aligned to business priorities, financial plans (AOP/LRP), and enterprise architecture; incorporate industry trends, emerging tech, and regulatory considerations.
• Lead planning and investment decisions, including modernization, build-vs-buy, and ecosystem partnerships, to ensure sustainable, future-ready solutions.
• Translate business and operational needs into clear product visions, success metrics, and prioritized initiatives; influence senior stakeholders by communicating trade-offs, risks, and recommendations.
• Partner with Engineering, Campus Operations, Construction, Finance, Infosec, and vendors to deliver secure, scalable solutions; oversee execution balancing near-term delivery with long-term platform health.
• Own the support strategy and operating model (SLAs, escalation, incident management), and ensure operational readiness for releases (documentation, training, runbooks, change management).
• Drive data-informed decisions using KPIs and platform health trends and use operational feedback to prioritize improvements and technical debt reduction.

Senior Manager, Technology Strategy – Operational Technology

• Lead, mentor, and manage a high-performing team of data scientists and ML engineers
• Drive data science initiatives aligned with Walmart's business goals
• Collaborate with senior management to identify opportunities for data science
• Oversee the end-to-end lifecycle of complex data science projects
• Ensure timely completion of projects within budget while maintaining quality standards
• Design, build, and deploy machine learning models
• Collaborate with engineering teams for data pipelines and infrastructure
• Establish processes for data integration, quality assurance, governance, and compliance
• Partner with cross-functional teams to understand requirements and deliver solutions
• Communicate insights effectively to drive decision-making

Senior Manager, Data Science

Learning and Development

• Lead high-impact ILT and vILT sessions including sales onboarding, advanced selling skills, product enablement, and deal strategy workshops.
• Create an engaging, high-energy learning environment that drives participation, accountability, and real-time skill application.
• Facilitate practice-based learning (role plays, simulations, deal reviews, peer coaching) that builds consultative selling capability and confidence.
• Translate business priorities, GTM strategy, and sales challenges into actionable learning experiences that drive behavior change.
• Partner with Sales Leaders to identify performance gaps and reinforce critical seller behaviors tied to revenue outcomes.
• Own end-to-end delivery of key learning programs, including onboarding cohorts, skill workshops, and ongoing enablement sessions.
• Evaluate learning effectiveness through observable behavior change, seller confidence, and performance outcomes.

Manager, Learning & Development – Sales Facilitation & Enablement

Technical Program Manager

• Lead and coordinate complex, multi-team programs with significant cross-functional dependencies, ensuring predictable delivery and transparency.
• Define program goals, key milestones, schedules, and risk mitigation plans for platform and services investments.
• Partner with product, engineering, data science, AI governance, and enterprise strategy teams to translate strategic priorities into executable work plans.
• Build trusted partnerships across engineering, product, data science, platform teams, and senior leadership.
• Prepare structured, compelling narratives and presentations for executive audiences, highlighting risks, opportunities, decisions, and outcomes.

Distinguished Technical Program Manager

• Develop advanced, responsive, and accessible web interfaces that make a large-scale impact and optimize the end-user experience
• Operate with a start-up mentality, bringing new ideas and inspiring those around you
• Identify areas of opportunity, determine solution designs, and advise on system and process enhancements
• Translate requirements into technical solutions leveraging Agile epics and stories
• Anticipate and manage risks and dependencies for functionality through mindful planning, estimation, and proactive communication
• Help cross-functional teams solve business problems and develop solutions that redefine a “best-in-class” customer experience

Software Engineer III – UI

• Partner with Directors and senior leaders to understand business goals, functional priorities, and emerging challenges.
• Translate complex, ambiguous business needs into clear hypotheses, research objectives, and analytical approaches.
• Develop tactical research and analytics plans and guide leaders on next steps based on insights.
• Present clear, actionable recommendations that inform strategic and operational initiatives.
• Own end‑to‑end work streams and individual projects across business areas, categories, prototypes, or new business initiatives.
• Lead analytics work across the full lifecycle—from ideation and proof‑of‑concept to implementation and scale.
• Build data models, algorithms, and analytical approaches that drive measurable business outcomes.
• Ensure rigorous testing, validation, and performance measurement.
• Collaborate closely with Advanced Analytics experts, product, and engineering teams to develop innovative approaches.